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Claire Elizabeth Cordella
Harvard Medical School
$215,115
Attributed
$215,115
Total exposure
2
Grants
2
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).
Funding over time
peak $76.8K · FY2016–23$100K$75K$50K$25K$0
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$215,115 · 2
By mechanism
F32$147,312 · 1
F31$67,803 · 1
Top collaborators
No co-investigators on record.
Most similar at Harvard Medical School
Same institution · by research overlap
- Laura Anne Jacox$1,665,065
- Andy Yuan$279,247
- Marc W Kirschner$55,400,682
- Joshua Michael Stuart$11,715,611
- Azeddine Atfi$8,523,232
Others in their field
Top investigators on “Interest”
- Valerie Koch · University Corporation For Atmospheric Res$243,972,016
- Antonio J Busalacchi · University Of Maryland, College Park$243,972,016
- Everette D Joseph · Howard University$243,972,016
- Eric J Barron · Pennsylvania State Univ University Park$243,972,016
- David Heimbrook · Leidos Biomedical Research, Inc.$231,553,599
- Clare E Reimers · Gordon Research Conferences$206,081,841
Research focus
InterestAcousticsPersonsIndexingLinguisticsFutureLanguageMotorValidationImpairmentSpeechDiagnosticPost StrokeArticulationAffectImpaired CognitionCodeAphasiaInter-Individual VariationCognitive FunctionAmericanFunctional DisorderCognitiveCohort
Grant awards (5)
Detecting and classifying non-fluent speech in aphasia using machine learning$70,510
F32 · FY2023 · DC · contact PI
Detecting and classifying non-fluent speech in aphasia using machine learning$74,302
F32 · FY2022 · DC · contact PI
Detecting and classifying non-fluent speech in aphasia using machine learning$2,500
F32 · FY2022 · DC · contact PI
Mechanisms of apraxia of speech in primary progressive aphasia$31,640
F31 · FY2017 · DC · contact PI
Mechanisms of apraxia of speech in primary progressive aphasia$36,163
F31 · FY2016 · DC · contact PI